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An individual-based model for the migration of pike (Esox lucius) in the river Yser, Belgium

Author

Listed:
  • Baetens, J.M.
  • Van Nieuland, S.
  • Pauwels, I.S.
  • De Baets, B.
  • Mouton, A.M.
  • Goethals, P.L.M.

Abstract

For many decades, pike populations in Belgium have been suffering from a decline of the environmental quality due to habitat deterioration, water pollution and many other degrading phenomena. Since past attempts to rehabilitate the pike populations had only limited success, it is of importance to gain insight into the spatio-temporal dynamics of pike such that more effective restoration programs can be effectuated in the future. Ideally, this can be accomplished by relying on telemetry data, but since the collection of such data is both labour-intensive and costly, researchers often resort to a simulation-based approach, which on its turn requires a sound spatio-temporal model. Therefore, and as a first step towards an integrated individual-based model (IBM) for describing pike dynamics in rivers, an IBM mimicking the movement of pike in the river Yser, Belgium, is proposed in this paper. This model considers the specificities of pike, such as its seasonally dependent migration, swimming speed and habitat preference, and is based upon environmental data from the river Yser. It is shown that the in silico spatio-temporal dynamics coincides with the one that is typically inferred from in situ observations. Amongst other things, the proposed model may be relied upon to identify the most appropriate management and restoration measures through a scenario analysis.

Suggested Citation

  • Baetens, J.M. & Van Nieuland, S. & Pauwels, I.S. & De Baets, B. & Mouton, A.M. & Goethals, P.L.M., 2013. "An individual-based model for the migration of pike (Esox lucius) in the river Yser, Belgium," Ecological Modelling, Elsevier, vol. 258(C), pages 40-52.
  • Handle: RePEc:eee:ecomod:v:258:y:2013:i:c:p:40-52
    DOI: 10.1016/j.ecolmodel.2013.02.030
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    References listed on IDEAS

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    1. Vicsek, Tamás & Czirók, András & Farkas, Illés J. & Helbing, Dirk, 1999. "Application of statistical mechanics to collective motion in biology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 274(1), pages 182-189.
    2. O’Callaghan, Michael & Gordon, G.N.G., 2008. "An individual-based stochastic hazard model of eastern king prawn (Melicertus plebejus) migration with spatially and temporally varying fishing effort," Ecological Modelling, Elsevier, vol. 218(1), pages 73-94.
    3. Charles, Sandrine & Subtil, Fabien & Kielbassa, Janice & Pont, Didier, 2008. "An individual-based model to describe a bullhead population dynamics including temperature variations," Ecological Modelling, Elsevier, vol. 215(4), pages 377-392.
    4. Andrea Venturini, 2011. "Time series outlier detection: a new non parametric methodology (washer)," Statistica, Department of Statistics, University of Bologna, vol. 71(3), pages 329-344.
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    Cited by:

    1. Radinger, Johannes & Hölker, Franz & Wolter, Christian, 2017. "Assessing how uncertainty and stochasticity affect the dispersal of fish in river networks," Ecological Modelling, Elsevier, vol. 359(C), pages 220-228.
    2. Muñoz-Mas, Rafael & Vezza, Paolo & Alcaraz-Hernández, Juan Diego & Martínez-Capel, Francisco, 2016. "Risk of invasion predicted with support vector machines: A case study on northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.)," Ecological Modelling, Elsevier, vol. 342(C), pages 123-134.

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